Senior Backend Developer

We are looking for a Senior Backend Developer to come aboard our AI Pods team and craft dependable AI-powered API services along with agentic workflows. The position is centered on enabling language models to interact with internal systems, vector databases and external tools through orchestration frameworks. You will treat LLMs as building blocks within a secure, scalable distributed environment, taking full ownership of API contracts and service reliability while embedding LLMs via disciplined systems engineering practices spanning evaluation, observability, fallback handling and cost awareness.
Responsibilities
Architect and develop backend API services along with LLM orchestration layers
Build and sustain sophisticated RAG pipelines covering document ingestion, chunking, embedding and retrieval optimization
Create and wire up agent tools leveraging LangChain, LangGraph and potentially MCP (Model Context Protocol)
Guarantee security, privacy, enterprise-grade observability and test coverage throughout all backend workflows
Shape architecture decisions and engineering standards inside the pod
Partner with frontend engineers, data engineers and infrastructure teams
Take ownership of API contracts and service reliability, ensuring graceful failure of AI edge cases
Deliver dependable, reusable orchestration frameworks and logic intended for downstream developer use
Requirements
3+ years in backend engineering with a focus on microservices and distributed systems
2+ years of Python proficiency applied to high-performance backend services and cloud-native APIs
Expertise in AWS, Docker and ECS/EKS
Background in RESTful API development
Knowledge of secure coding practices together with solid auth/authz fundamentals
Upper-Intermediate English language proficiency (B2)
Nice to have
1–2+ years of practical production usage of AI SDKs including OpenAI, Anthropic/Claude or AWS Bedrock
Familiarity with vector stores (Amazon Kendra, OpenSearch) alongside embedding strategies and retrieval systems
Direct experience working with agentic frameworks like LlamaIndex
Skills in AI evaluation tooling or real-time APM platforms (LangSmith, Langfuse, Arize)
1–2+ years applying React and TypeScript, together with large-scale EKS deployments
Understanding of agent interoperability patterns (MCP), identity/security spaces (IAM, CIAM) plus additional languages like Java, Node.js or Go